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Our faculty are not content to trod well-worn engineering paths. Instead, they are driven to pursue innovations in teaching, research that address truly complex challenges, and to pursue worldwide leadership roles in their fields.
Our faculty are not content to trod well-worn engineering paths. Instead, they are driven to pursue innovations in teaching, research that address truly complex challenges, and to pursue worldwide leadership roles in their fields.
Dr. Rohde develops computational predictive models using machine learning and signal and image processing with applications in pathology, radiology, systems biology, and mobile sensing. He earned B.S. degrees in physics and mathematics in 1999, and the M.S. degree in Electrical Engineering in...